Assessment of Information predictability of stochastic processes

The necessary theoretical information for parameter estimation algorithms informational predictability of stochastic processes. We consider examples of algorithms for estimating the predictability of information for the processes described by the optimal difference schemes, equivalent prognostic mod...

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Main Author: A. V. Ausiannikau
Format: Article
Language:Russian
Published: Educational institution «Belarusian State University of Informatics and Radioelectronics» 2019-06-01
Series:Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
Subjects:
Online Access:https://doklady.bsuir.by/jour/article/view/408
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author A. V. Ausiannikau
author_facet A. V. Ausiannikau
author_sort A. V. Ausiannikau
collection DOAJ
description The necessary theoretical information for parameter estimation algorithms informational predictability of stochastic processes. We consider examples of algorithms for estimating the predictability of information for the processes described by the optimal difference schemes, equivalent prognostic models in the form of stochastic differential equations.
first_indexed 2024-04-10T03:14:51Z
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institution Directory Open Access Journal
issn 1729-7648
language Russian
last_indexed 2024-04-10T03:14:51Z
publishDate 2019-06-01
publisher Educational institution «Belarusian State University of Informatics and Radioelectronics»
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series Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
spelling doaj.art-b584da1e4a6e44f4bf09fb84d9ac0ea02023-03-13T07:33:14ZrusEducational institution «Belarusian State University of Informatics and Radioelectronics»Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki1729-76482019-06-01015460407Assessment of Information predictability of stochastic processesA. V. Ausiannikau0Белорусский государственный университетThe necessary theoretical information for parameter estimation algorithms informational predictability of stochastic processes. We consider examples of algorithms for estimating the predictability of information for the processes described by the optimal difference schemes, equivalent prognostic models in the form of stochastic differential equations.https://doklady.bsuir.by/jour/article/view/408информационная прогнозируемостьстохастический процессодношаговая плотность переходаалгоритм оценки прогнозируемости
spellingShingle A. V. Ausiannikau
Assessment of Information predictability of stochastic processes
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
информационная прогнозируемость
стохастический процесс
одношаговая плотность перехода
алгоритм оценки прогнозируемости
title Assessment of Information predictability of stochastic processes
title_full Assessment of Information predictability of stochastic processes
title_fullStr Assessment of Information predictability of stochastic processes
title_full_unstemmed Assessment of Information predictability of stochastic processes
title_short Assessment of Information predictability of stochastic processes
title_sort assessment of information predictability of stochastic processes
topic информационная прогнозируемость
стохастический процесс
одношаговая плотность перехода
алгоритм оценки прогнозируемости
url https://doklady.bsuir.by/jour/article/view/408
work_keys_str_mv AT avausiannikau assessmentofinformationpredictabilityofstochasticprocesses